PlasmoRhythm: A comprehensive database for malaria-associated rhythmic transcripts, proteins, and metabolites
Abstract: Motivation: The malaria transmission cycle is temporally organized across three interacting biological systems: the parasite, vertebrate host, and mosquito vector. Rhythms in parasite development, host physiology, and vector behavior govern infection dynamics, transmission, and the efficacy of stage-specific antimalarial interventions. However, the molecular architecture connecting…
The malaria transmission cycle is intricately regulated by rhythmic processes occurring in the parasite, host, and vector. Understanding these rhythms is crucial for developing effective antimalarial interventions. However, existing time-resolved omics datasets are scattered across various species, experimental setups, and analytical tools, making it challenging to conduct comparative analysis.
To address this issue, researchers have developed PlasmoRhythm, a comprehensive database that integrates 67 transcriptomic, proteomic, and metabolomic datasets from 15 studies. These datasets encompass a total of 1,126 sampling events, covering Plasmodium species, mammalian hosts, and Anopheles vectors. PlasmoRhythm offers harmonized metadata and rhythmicity outputs derived from advanced analytical tools such as JTK_CYCLE, ARSER, Lomb-Scargle, and meta2d function.
These features enable interactive cross-study interrogation of molecular profiles. Dedicated modules within PlasmoRhythm allow researchers to explore rhythmic virulence factors and antimalarial drug interactors, providing a unified framework for hypothesis generation across the entire malaria transmission cycle. PlasmoRhythm is freely accessible online at https://project.iith.ac.in/cgntlab/PlasmoRhythm/.
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